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Bioinformatics: Learn NGS Data Analysis From Scratch
Best Bioinformatics course to Learn Bioinformatics NGS Variant Calling Data Analysis from Scratch (Theory & Practical)
What you'll learn
You will learn the fundamentals of Molecular Biology From Genotype to Phenotype
You will installation of Linux in Windows (WSL) and fundamentals of bash scripting
You will learn about the FASTQ and FASTA file formats
You will learn the installation of tools for Variant Calling in Linux
You will learn the GATK best practice pipeline for Variant calling starting from FASTQ to VCF
You will learn the structure of VCF file and understanding of its information
You will learn about Annotations of Variants present in FASTQ file using Funcotator
You will learn the sorting of Annotated VCF file to take clinical decisions
You will learn how to leverage the open source software to analyze the NGS data
Requirements
No prior knowledge of programming is needed.
Fundamental knowledge of Molecular Biology is needed but not mandatory. You will learn some essential molecular biology knowledge in first module of course.
Fundamentals of Bioinformatics is needed but not mandatory. You will learn most of its part related to NGS data analysis in course
In online teaching, it's always hard to engage the students. Therefore we have designed this course keeping the psychology of students in view. Usually, students start to lose their interest when they are stuck in a complex concept that's why We tried to move from simple to complex easily and understandably.
Description
Welcome to our 5th course on Udemy. In this course, you will learn about the Next generation sequencing (NGS) bioinformatics data analysis. Next-generation sequencing (NGS) has revolutionised different aspects of our world, especially diagnostics, drug discovery, personalised medicine, etc. Very shortly, the whole genome sequence (WGS) or whole exome sequence (WES) will be part of every individual medical record to understand the genomics architecture to design better personalised therapies. The NGS data that is produced by the machines is quite big, and unfortunately, most clinicians or biologists are not well equipped to understand and analyse this data in a better way. Basic bioinformatics knowledge is essential for biologists in today's world to understand such big biological data. Bioinformatics is at the intersection of biology and computer science. Without this basic skill, you may not stand anywhere in research, academia and industry in the coming five to ten years. Keeping this need of time in view, we brought here a basic bioinformatics NGS Data Analysis course for you. In this course, there are five modules1- Fundamentals of Molecular Biology 2- Introduction of Sequencing Technologies 3- Next-Generation Sequencing Data Analysis From FASTQ to VCF4- Understanding of VCF File 5- Annotation of VCF File Using Funcotator In these five modules, we have tried to cover all aspects of Next generation sequencing (NGS) data analysis using the state-of-the-art GATK pipeline. GATK is open-source industry-standard software that is frequently used in NGS data analysis. This tool will give you the power to read the genomic text easily. Once you learn the GATK, then it will be easy for you to analyse the FASTQ files in a short period. Most of the time, students are either taught the use of expensive software to handle such data or open-source online tools, but please let us tell you that this stuff will not give you the flexibility to handle the genomic data as per your own requirements. This course will enable you to perform this task. Disclaimer: In this course, we have discussed the GATK pipeline by taking the example of Human Genomic Data. Please keep in mind that this pipeline will not be suitable for those who are interested in microbial genomic data.
Who this course is for
Beginner in field of Biology
Beginners in field of Bioinformatics
Beginners in molecular diagnostics
Data scientists interested to understand genomic (DNA) data
Researcher pursing their carrier in Molecular biology, Biochemistry and Biotechnology
Homepage:
Download link
rapidgator.net:
nitroflare.com:
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 21m | Size: 2 GB
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 21m | Size: 2 GB
Best Bioinformatics course to Learn Bioinformatics NGS Variant Calling Data Analysis from Scratch (Theory & Practical)
What you'll learn
You will learn the fundamentals of Molecular Biology From Genotype to Phenotype
You will installation of Linux in Windows (WSL) and fundamentals of bash scripting
You will learn about the FASTQ and FASTA file formats
You will learn the installation of tools for Variant Calling in Linux
You will learn the GATK best practice pipeline for Variant calling starting from FASTQ to VCF
You will learn the structure of VCF file and understanding of its information
You will learn about Annotations of Variants present in FASTQ file using Funcotator
You will learn the sorting of Annotated VCF file to take clinical decisions
You will learn how to leverage the open source software to analyze the NGS data
Requirements
No prior knowledge of programming is needed.
Fundamental knowledge of Molecular Biology is needed but not mandatory. You will learn some essential molecular biology knowledge in first module of course.
Fundamentals of Bioinformatics is needed but not mandatory. You will learn most of its part related to NGS data analysis in course
In online teaching, it's always hard to engage the students. Therefore we have designed this course keeping the psychology of students in view. Usually, students start to lose their interest when they are stuck in a complex concept that's why We tried to move from simple to complex easily and understandably.
Description
Welcome to our 5th course on Udemy. In this course, you will learn about the Next generation sequencing (NGS) bioinformatics data analysis. Next-generation sequencing (NGS) has revolutionised different aspects of our world, especially diagnostics, drug discovery, personalised medicine, etc. Very shortly, the whole genome sequence (WGS) or whole exome sequence (WES) will be part of every individual medical record to understand the genomics architecture to design better personalised therapies. The NGS data that is produced by the machines is quite big, and unfortunately, most clinicians or biologists are not well equipped to understand and analyse this data in a better way. Basic bioinformatics knowledge is essential for biologists in today's world to understand such big biological data. Bioinformatics is at the intersection of biology and computer science. Without this basic skill, you may not stand anywhere in research, academia and industry in the coming five to ten years. Keeping this need of time in view, we brought here a basic bioinformatics NGS Data Analysis course for you. In this course, there are five modules1- Fundamentals of Molecular Biology 2- Introduction of Sequencing Technologies 3- Next-Generation Sequencing Data Analysis From FASTQ to VCF4- Understanding of VCF File 5- Annotation of VCF File Using Funcotator In these five modules, we have tried to cover all aspects of Next generation sequencing (NGS) data analysis using the state-of-the-art GATK pipeline. GATK is open-source industry-standard software that is frequently used in NGS data analysis. This tool will give you the power to read the genomic text easily. Once you learn the GATK, then it will be easy for you to analyse the FASTQ files in a short period. Most of the time, students are either taught the use of expensive software to handle such data or open-source online tools, but please let us tell you that this stuff will not give you the flexibility to handle the genomic data as per your own requirements. This course will enable you to perform this task. Disclaimer: In this course, we have discussed the GATK pipeline by taking the example of Human Genomic Data. Please keep in mind that this pipeline will not be suitable for those who are interested in microbial genomic data.
Who this course is for
Beginner in field of Biology
Beginners in field of Bioinformatics
Beginners in molecular diagnostics
Data scientists interested to understand genomic (DNA) data
Researcher pursing their carrier in Molecular biology, Biochemistry and Biotechnology
Homepage:
Screenshots
Download link
rapidgator.net:
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nitroflare.com:
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